Master-leader-slave cuckoo search with parameter control for ANN optimization and its real-world application to water quality prediction

artificial neural network; human; leadership; prediction; slave; species; time series analysis; water quality; algorithm; artificial neural network; computer simulation; standards; theoretical model; water quality; Algorithms; Computer Simulation; Models, Theoretical; Neural Networks (Computer); Wat...

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Main Authors: Jaddi N.S., Abdullah S., Malek M.A.
Other Authors: 36716354300
Format: Article
Published: Public Library of Science 2023
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spelling my.uniten.dspace-234792023-05-29T14:40:52Z Master-leader-slave cuckoo search with parameter control for ANN optimization and its real-world application to water quality prediction Jaddi N.S. Abdullah S. Malek M.A. 36716354300 23395783300 55636320055 artificial neural network; human; leadership; prediction; slave; species; time series analysis; water quality; algorithm; artificial neural network; computer simulation; standards; theoretical model; water quality; Algorithms; Computer Simulation; Models, Theoretical; Neural Networks (Computer); Water Quality Artificial neural networks (ANNs) have been employed to solve a broad variety of tasks. The selection of an ANN model with appropriate weights is important in achieving accurate results. This paper presents an optimization strategy for ANN model selection based on the cuckoo search (CS) algorithm, which is rooted in the obligate brood parasitic actions of some cuckoo species. In order to enhance the convergence ability of basic CS, some modifications are proposed. The fraction Pa of the n nests replaced by new nests is a fixed parameter in basic CS. As the selection of Pa is a challenging issue and has a direct effect on exploration and therefore on convergence ability, in this work the Pa is set to a maximum value at initialization to achieve more exploration in early iterations and it is decreased during the search to achieve more exploitation in later iterations until it reaches the minimum value in the final iteration. In addition, a novel master-leader-slave multi-population strategy is used where the slaves employ the best fitness function among all slaves, which is selected by the leader under a certain condition. This fitness function is used for subsequent L�vy flights. In each iteration a copy of the best solution of each slave is migrated to the master and then the best solution is found by the master. The method is tested on benchmark classification and time series prediction problems and the statistical analysis proves the ability of the method. This method is also applied to a real-world water quality prediction problem with promising results. � 2017 Jaddi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Final 2023-05-29T06:40:52Z 2023-05-29T06:40:52Z 2017 Article 10.1371/journal.pone.0170372 2-s2.0-85011661902 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011661902&doi=10.1371%2fjournal.pone.0170372&partnerID=40&md5=afd29c3f4a23559d03bd8a53c4e2aa66 https://irepository.uniten.edu.my/handle/123456789/23479 12 1 e0170372 All Open Access, Gold, Green Public Library of Science Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description artificial neural network; human; leadership; prediction; slave; species; time series analysis; water quality; algorithm; artificial neural network; computer simulation; standards; theoretical model; water quality; Algorithms; Computer Simulation; Models, Theoretical; Neural Networks (Computer); Water Quality
author2 36716354300
author_facet 36716354300
Jaddi N.S.
Abdullah S.
Malek M.A.
format Article
author Jaddi N.S.
Abdullah S.
Malek M.A.
spellingShingle Jaddi N.S.
Abdullah S.
Malek M.A.
Master-leader-slave cuckoo search with parameter control for ANN optimization and its real-world application to water quality prediction
author_sort Jaddi N.S.
title Master-leader-slave cuckoo search with parameter control for ANN optimization and its real-world application to water quality prediction
title_short Master-leader-slave cuckoo search with parameter control for ANN optimization and its real-world application to water quality prediction
title_full Master-leader-slave cuckoo search with parameter control for ANN optimization and its real-world application to water quality prediction
title_fullStr Master-leader-slave cuckoo search with parameter control for ANN optimization and its real-world application to water quality prediction
title_full_unstemmed Master-leader-slave cuckoo search with parameter control for ANN optimization and its real-world application to water quality prediction
title_sort master-leader-slave cuckoo search with parameter control for ann optimization and its real-world application to water quality prediction
publisher Public Library of Science
publishDate 2023
_version_ 1806426372966449152
score 13.214268